Consolidate all data sources into a single, high-capacity data warehouse to simplify management and improve performance, despite the potential increase in initial setup costs.

Analyze the current data sources to identify inefficiencies, then refactor them to use more efficient data retrieval and integration strategies, such as implementing incremental refresh and partitioning.

Disable all automatic processing features and switch to manual processing to reduce the load on the system, accepting the trade-off of delayed data availability for analytics.

Upgrade the hardware resources allocated to the semantic model processing engine to handle the complexity, without making any changes to the data sources themselves.